Phil Skentelbery
07fff01fab
Phase 2 - Enhancements: - Add performance monitoring infrastructure with MetricsBuffer - Implement three-tier health checks (/health, /health?detailed, /admin/health) - Enhance search with FTS5 fallback and XSS-safe highlighting - Add Unicode slug generation with timestamp fallback - Expose database pool statistics via /admin/metrics - Create missing error templates (400, 401, 403, 405, 503) Phase 3 - Polish: - Implement RSS streaming optimization (memory O(n) → O(1)) - Add admin metrics dashboard with htmx and Chart.js - Fix flaky migration race condition tests - Create comprehensive operational documentation - Add upgrade guide and troubleshooting guide Testing: 632 tests passing, zero flaky tests Documentation: Complete operational guides Security: All security reviews passed 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
20 lines
711 B
Python
20 lines
711 B
Python
"""
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Performance monitoring for StarPunk
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This package provides performance monitoring capabilities including:
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- Metrics collection with circular buffers
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- Operation timing (database, HTTP, rendering)
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- Per-process metrics with aggregation
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- Configurable sampling rates
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Per ADR-053 and developer Q&A Q6, Q12:
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- Each process maintains its own circular buffer
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- Buffers store recent metrics (default 1000 entries)
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- Metrics include process ID for multi-process deployment
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- Sampling rates are configurable per operation type
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"""
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from starpunk.monitoring.metrics import MetricsBuffer, record_metric, get_metrics, get_metrics_stats
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__all__ = ["MetricsBuffer", "record_metric", "get_metrics", "get_metrics_stats"]
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